Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Session: Chapter 4: Intelligent Algorithms and Simulation Application

25 articles
Haibiao Luo, Haojie Yuan, Shendong Cheng, Ying Li, Feng Yuan, Mingzhu Wei
The Adaboost algorithm plays important role in many machine learning applications. But the computation cost is real expensive when the candidate features are in large amount. In this paper, we introduce a parallel strategy of the Adaboost algorithm on Intel CPU+MIC system, where Intel MIC works as a...
Luan Gao, Fenggang Li, Jian Wang, Zhenguo Wang, Lin Luo, Xiaozhi Gao
The research planed to gather and standard the real world stroke clinical data from clinica to construct a stroke ontology corpus, through refactoring and sharing of data, established a multi-dimensional stroke ontology. And based on stroke diagnosis and treatment process, it integrated the evolution...
Jianmin Hao, Zefeng Song
With the continuous development of IT system in enterprises, the more complicated IT system framework rising up. IT system operation becomes more and more difficult. In order to improve the ability of IT management, a complex IT model system is built up along with establishing semantic network of complex...
Anqi Chen, Jimei Li
To meet the need of the adaptive learning platform, the relevant research results of the domain modeling have been analyzed and compared in this paper, including the methods of domain knowledge representation, the domain modeling methods and modeling technology based on ontology. And combining with the...
Zhiqiong Wang, Chen Zhang, Tianshu Wang, Jinhui Zhang, Yang Cui, He Ma, Yan Kang
Mammograms are frequent detection means in breast disease. But the limited bandwidth impedes the communication transmission of mammograms in PACS. In this paper, we investigated on the compression method of four mammograms in DICOM format in narrow band transmission environment. Firstly, according to...
Qiang Li, Xueshi Ge, Geng Wang
Visual Tracking, as an important subject in computer vision, has been widely used in surveillance, space exploration, and human-computer interaction etc. Both tracking-learning-detection (TLD) [1] and compressive tracking (CT) [2] are successful algorithms among those proposed recently. However, TLD...
Jing Chen, Bing Li, Li Li
Aiming at agents' autonomous cognitive problems in unknown environment, a novel curiosity-driven perception-action cognitive model is proposed, which simulates intrinsic motivation cognitive mechanism based on the curiosity in psychology, and cognitive processes from perception to action is realized...
Siming Zhang, Xueshi Ge, Geng Wang
With the development of network facilities and the wide spread of smart phones, traditional single bitrate video streaming strategy is no longer able to satisfy people's growing needs for high quality video streams. Most of today's adaptive streaming strategies are based on bandwidth estimation such...
Yahui Song, Hongyan Quan, Yuwen Huang
Re-simulating a 3D fluid result from video while retaining and rendering details is significant in practice, which still remains a difficult task in spite of rapid advancements in this field during the last two decades. Physically driven models can be easily extended to handle fluid, yet they are unable...
Kaifa Lian, Bailin Fan, Yuan Miao, Xueyang Zhu
Carry out the static analysis of the frame under different working conditions and put forward four kinds scheme of the improvement of the beam, longitudinal beam and traction plate. Besides, carry out the modal analysis of the frame, get the natural frequency and vibration mode of the frame, to provide...
Anjin Park, Hong-Lyel Jung, Joo Beom Eom, Jaesung Ahn, Byeong-Il Lee
This paper proposes an interactive segmentation method based on seed extension to tackle the problems of the min-cut/max-flows algorithm, which was extensively validated for many interactive segmentation applications. The extension is performed by constructing minimum spanning forests (MSF) from seed...
Belen Masia, Diego Gutierrez
We present an image analysis approach for reverse tone mapping of high dynamic range (HDR) content. The goal is to expand the dynamic range of existing low dynamic range content, to be properly shown on modern HDR displays. Most of the existing reverse tone mapping operators fail to offer a good solution...
Taiyin Zhao, Xiaoqing Zhou
For two vertices u and v in a graph G, we denote by dG(u,v) the distance between u and v. If dG(u,v)=i, we say the vertex v is an i-neighbor of u. Let s,t and k be nonnegative integers. An (s,t) –relaxed k-L(2,1) –labeling f of G is an assignment of labels from {0,1,…,K} to the vertices of G if each...